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在 FDA 批准的下肢设备中,比较外骨骼辅助和非辅助运动的动力学:对照实验和基于个体的虚拟模拟器的开发。

Comparison of the dynamics of exoskeletal-assisted and unassisted locomotion in an FDA-approved lower extremity device: Controlled experiments and development of a subject-specific virtual simulator.

机构信息

Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, United States of America.

ReWalk Robotics, Yokneam, Israel.

出版信息

PLoS One. 2023 Feb 10;18(2):e0270078. doi: 10.1371/journal.pone.0270078. eCollection 2023.

Abstract

Robotic exoskeletons have considerable, but largely untapped, potential to restore mobility in individuals with neurological disorders, and other conditions that result in partial or complete immobilization. The growing demand for these devices necessitates the development of technology to characterize the human-robot system during exoskeletal-assisted locomotion (EAL) and accelerate robot design refinements. The goal of this study was to combine controlled experiments with computational modeling to build a virtual simulator of EAL. The first objective was to acquire a minimum empirical dataset comprising human-robot kinematics, ground reaction forces, and electromyography during exoskeletal-assisted and unassisted locomotion from an able-bodied participant. The second objective was to quantify the dynamics of the human-robot system using a subject-specific virtual simulator reproducing EAL compared to the dynamics of normal gait. We trained an able-bodied participant to ambulate independently in a Food and Drug Administration-approved exoskeleton, the ReWalk P6.0 (ReWalk Robotics, Yoknaem, Israel). We analyzed the motion of the participant during exoskeletal-assisted and unassisted walking, sit-to-stand, and stand-to-sit maneuvers, with simultaneous measurements of (i) three-dimensional marker trajectories, (ii) ground reaction forces, (iii) electromyography, and (iv) exoskeleton encoder data. We created a virtual simulator in OpenSim, comprising a whole-body musculoskeletal model and a full-scale exoskeleton model, to determine the joint kinematics and moments during exoskeletal-assisted and unassisted maneuvers. Mean peak knee flexion angles of the human subject during exoskeletal-assisted walking were 50.1° ± 0.6° (left) and 52.6° ± 0.7° (right), compared to 68.6° ± 0.3° (left) and 70.7° ± 1.1° (right) during unassisted walking. Mean peak knee extension moments during exoskeletal-assisted walking were 0.10 ± 0.10 Nm/kg (left) and 0.22 ± 0.11 Nm/kg (right), compared to 0.64 ± 0.07 Nm/kg (left) and 0.73 ± 0.10 Nm/kg (right) during unassisted walking. This work provides a foundation for parametric studies to characterize the effects of human and robot design variables, and predictive modeling to optimize human-robot interaction during EAL.

摘要

机器人外骨骼在恢复神经系统疾病患者和其他导致部分或完全瘫痪的患者的运动能力方面具有相当大的、但尚未充分开发的潜力。对这些设备的需求不断增长,需要开发技术来在外骨骼辅助运动 (EAL) 期间对人机系统进行特征描述,并加速机器人设计的改进。本研究的目的是结合控制实验和计算建模,构建 EAL 的虚拟模拟器。第一个目标是从一个健康的参与者那里获得一个包含外骨骼辅助和非辅助运动期间人机运动学、地面反作用力和肌电图的最小经验数据集。第二个目标是使用特定于主题的虚拟模拟器来量化人机系统的动力学,该模拟器再现了 EAL 与正常步态的动力学。我们训练一个健康的参与者独立地在食品和药物管理局批准的外骨骼 ReWalk P6.0(ReWalk Robotics,Yoknaem,以色列)中行走。我们分析了参与者在辅助和非辅助行走、坐站和站坐运动期间的运动,同时测量了 (i) 三维标记轨迹、(ii) 地面反作用力、(iii) 肌电图和 (iv) 外骨骼编码器数据。我们在 OpenSim 中创建了一个虚拟模拟器,其中包括一个全身肌肉骨骼模型和一个全尺寸外骨骼模型,以确定外骨骼辅助和非辅助运动期间的关节运动学和力矩。在 EAL 中,与非辅助行走时的 68.6°±0.3°(左)和 70.7°±1.1°(右)相比,人类参与者在辅助行走时的平均峰值膝关节屈曲角度为 50.1°±0.6°(左)和 52.6°±0.7°(右)。在 EAL 中,与非辅助行走时的 0.64°±0.07 Nm/kg(左)和 0.73°±0.10 Nm/kg(右)相比,外骨骼辅助行走时的平均峰值膝关节伸展力矩为 0.10°±0.10 Nm/kg(左)和 0.22°±0.11 Nm/kg(右)。这项工作为参数研究提供了基础,以描述人机设计变量的影响,并进行预测建模以优化 EAL 期间的人机交互。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b995/9916583/e916d5cbf0b8/pone.0270078.g001.jpg

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